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yhn280385395's Projects

alfred icon alfred

alfred-py: A deep learning utility library for visualization and sensor fusion purpose

arae icon arae

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

avod_ssn icon avod_ssn

Deep Sensor Fusion for Single Source Robustness

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

bindsnet icon bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

chinesener icon chinesener

基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

cmu-multimodalsdk icon cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

contrastive_sensor_fusion icon contrastive_sensor_fusion

Open-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".

deepbelief icon deepbelief

Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).

dfm icon dfm

deep fusion model : towards better representation learning for multi-channel diversified data

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dsn icon dsn

Pytorch implementation of Domain Separation Networks

fusenet-hand-pose icon fusenet-hand-pose

Implementation of E. Kazakos, C. Nikou, I. A. Kakadiaris. On the Fusion of RGB and Depth Information for Hand Pose Estimation, ICIP, 2018.

gnss-ins-sim icon gnss-ins-sim

Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation

hypelcnn icon hypelcnn

A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data

licam icon licam

LiCAM Fusion Network, combines heterogeneous senor data to solve the problem of environment perception in the context of Autonomous Driving.

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